| Full text | |
| Author(s): |
Barros, Camila da Costa
[1]
;
de Abreu Santos, Daniel Jordan
[1]
;
Aspilcueta-Borquis, Rusbel Raul
[2]
;
Ferreira de Camargo, Gregorio Miguel
[3]
;
de Araujo Neto, Francisco Ribeiro
[4]
;
Tonhati, Humberto
[1]
Total Authors: 6
|
| Affiliation: | [1] Sao Paulo State Univ, UNESP, FCAV, Jaboticabal, SP - Brazil
[2] Fundacao Univ Fed Grande Dourados, Dourados, MS - Brazil
[3] Univ Fed Bahia, Salvador, BA - Brazil
[4] Inst Fed Goiano, Rio Verde, Go - Brazil
Total Affiliations: 4
|
| Document type: | Journal article |
| Source: | JOURNAL OF DAIRY RESEARCH; v. 85, n. 4, p. 402-406, NOV 2018. |
| Web of Science Citations: | 0 |
| Abstract | |
The aim of this research communication was to identify chromosome regions and genes that could be related to milk yield (MY), milk fat (%F) and protein percentage (%P) in Brazilian buffalo cows using information from genotyped and non-genotyped animals. We used the 90 K Axiom (R) Buffalo Genotyping array. A repeatability model was used. An iterative process was performed to calculate the weights of markers as a function of the squared effects of Single Nucleotide Polymorphism (SNP) and allele frequencies. The 10 SNPs with the largest effects for MY, %F and %P were studied and they explained 7.48, 9.94 and 6.56% of the genetic variance, respectively. These regions harbor genes with biological functions that could be related to the traits analyzed. The identification of such regions and genes will contribute to a better understanding of their influence on milk production and milk quality traits of buffaloes. (AU) | |
| FAPESP's process: | 13/24427-3 - Genomic selection for yield and quality of milk buffalo |
| Grantee: | Camila da Costa Barros |
| Support Opportunities: | Scholarships in Brazil - Doctorate |